Pulling p tags from multiple URLs-CodePudding

I've struggled on this for days and not sure what the issue could be - basically, I'm trying to extract the profile box data (picture below) of each link -- going through inspector, I thought I could pull the p tags and do so.

I'm new to this and trying to understand, but here's what I have thus far:

-- a code that (somewhat) succesfully pulls the info for ONE link:

import requests
from bs4 import BeautifulSoup


# getting html

url = 'https://basketball.realgm.com/player/Darius-Adams/Summary/28720'
req = requests.get(url)

soup = BeautifulSoup(req.text, 'html.parser')

container = soup.find('div', attrs={'class', 'main-container'})
playerinfo = container.find_all('p')


print(playerinfo)

I then also have a code that pulls all of the HREF tags from multiple links:

    from bs4 import BeautifulSoup
import requests


def get_links(url):

    links = []

    website = requests.get(url)
    website_text = website.text
    soup = BeautifulSoup(website_text)

    for link in soup.find_all('a'):

        links.append(link.get('href'))

    for link in links:
        print(link)

        print(len(links))


get_links('https://basketball.realgm.com/dleague/players/2022')
get_links('https://basketball.realgm.com/dleague/players/2021')
get_links('https://basketball.realgm.com/dleague/players/2020')

So basically, my goal is to combine these two, and get one code that will pull all of the P tags from multiple URLs. I've been trying to do it, and I'm really not sure at all why this isn't working here:

    from bs4 import BeautifulSoup
import requests


def get_profile(url):

    profiles = []

    req = requests.get(url)
    soup = BeautifulSoup(req.text, 'html.parser')
    container = soup.find('div', attrs={'class', 'main-container'})

    for profile in container.find_all('a'):

        profiles.append(profile.get('p'))

    for profile in profiles:
        print(profile)


get_profile('https://basketball.realgm.com/player/Darius-Adams/Summary/28720')
get_profile('https://basketball.realgm.com/player/Marial-Shayok/Summary/26697')

Again, I'm really new to web scraping with Python but any advice would be greatly appreciated. Ultimately, my end goal is to have a tool that can scrape this data in a clean way all at once.

(Player name, Current Team, Born, Birthplace, etc).. maybe I'm doing it entirely wrong but any guidance is welcome!

CodePudding user response：

You need to combine your two scripts together and make requests for each player. Try the following approach. This searches for <td> tags that have the data-td=Player attribute:

import requests
from bs4 import BeautifulSoup

def get_links(url):
    data = []
    req_url = requests.get(url)
    soup = BeautifulSoup(req_url.content, "html.parser")

    for td in soup.find_all('td', {'data-th' : 'Player'}):
        a_tag = td.a
        name = a_tag.text
        player_url = a_tag['href']
        print(f"Getting {name}")

        req_player_url = requests.get(f"https://basketball.realgm.com{player_url}")
        soup_player = BeautifulSoup(req_player_url.content, "html.parser")
        div_profile_box = soup_player.find("div", class_="profile-box")
        row = {"Name" : name, "URL" : player_url}
        
        for p in div_profile_box.find_all("p"):
            try:
                key, value = p.get_text(strip=True).split(':', 1)
                row[key.strip()] = value.strip()
            except:     # not all entries have values
                pass

        data.append(row)

    return data

urls = [
    'https://basketball.realgm.com/dleague/players/2022',
    'https://basketball.realgm.com/dleague/players/2021',
    'https://basketball.realgm.com/dleague/players/2020',
]


for url in urls:
    print(f"Getting: {url}")
    data = get_links(url)
    
    for entry in data:
        print(entry)